Acupuncture modulates the functional connectivity of the default mode network in stroke patients.
Author: Zhang Y1, Li K1, Ren Y1, Cui F1, Xie Z1, Shin JY1, Tan Z2, Tang L3, Bai L4, Zou Y1.
Affiliation:
1Department of Neurology and Stroke Center, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 100700, China. 2Department of Radiology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 100700, China. 3Department of Acupuncture, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 100700, China. 4The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710048, China.
Conference/Journal: Evid Based Complement Alternat Med.
Date published: 2014
Other:
Volume ID: 2014 , Pages: 765413 , Special Notes: doi: 10.1155/2014/765413. Epub 2014 Mar 5 , Word Count: 155
Abundant evidence from previous fMRI studies on acupuncture has revealed significant modulatory effects at widespread brain regions. However, few reports on the modulation to the default mode network (DMN) of stroke patients have been investigated in the field of acupuncture. To study the modulatory effects of acupuncture on the DMN of stroke patients, eight right hemispheric infarction and stable ischemic stroke patients and ten healthy subjects were recruited to undergo resting state fMRI scanning before and after acupuncture stimulation. Functional connectivity analysis was applied with the bilateral posterior cingulate cortices chosen as the seed regions. The main finding demonstrated that the interregional interactions between the ACC and PCC especially enhanced after acupuncture at GB34 in stroke patients, compared with healthy controls. The results indicated that the possible mechanisms of the modulatory effects of acupuncture on the DMN of stroke patients could be interpreted in terms of cognitive ability and motor function recovery.
PMID: 24734113 PMCID: PMC3963376
BACK
